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Updated: Feb 5, 2026

Profiling Sensitivity to Targeted Therapies in EGFR-Mutant NSCLC Patient-Derived Organoids
Published on: November 22, 2021
Proteogenomic systems analysis identifies targeted therapy resistance mechanisms in EGFR-mutated lung cancer
Denise Treue1, Michael Bockmayr1,2, Albrecht Stenzinger3,4,5
1Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, Berlin, Germany.
Abstract:
Cancer precision medicine largely relies on knowledge about genetic aberrations in tumors and next-generation-sequencing studies have shown a high mutational complexity in many cancers. Although a large number of the observed mutations is believed to be not causally linked with cancer, the functional effects of many rare mutations but also of combinations of driver mutations are often unknown. Here, we perform a systems analysis of a model of EGFR-mutated nonsmall cell lung cancer resistant to targeted therapy that integrates whole exome sequencing, global time-course discovery phosphoproteomics and computational modeling to identify functionally relevant molecular alterations. Our approach allows for a complexity reduction from over 2,000 genetic events potentially involved in mediating resistance to only 44 phosphoproteins and 35 topologically close genetic alterations. We perform single- and combination-drug testing against the predicted phosphoproteins and discovered that targeting of HSPB1, DBNL and AKT1 showed potent antiproliferative effects overcoming resistance against EGFR-inhibitory therapy. Our approach may therefore be used to complement mutational profiling to identify functionally relevant molecular aberrations and propose combination therapies across cancers.
Insights
This study identifies key proteins (HSPB1, DBNL, AKT1) that overcome EGFR-inhibitor resistance in lung cancer. Targeting these proteins shows potent anti-cancer effects, offering new combination therapy strategies for precision medicine.
Area of Science:
- Oncology
- Systems Biology
- Genomics
Background:
- Precision medicine in cancer relies on understanding genetic mutations.
- The functional impact of rare mutations and mutation combinations remains largely unknown.
- EGFR-mutated non-small cell lung cancer (NSCLC) often develops resistance to targeted therapies.
Purpose of the Study:
- To identify functionally relevant molecular alterations driving resistance to targeted therapy in EGFR-mutated NSCLC.
- To reduce the complexity of genetic events and identify key phosphoproteins involved in resistance.
- To propose novel therapeutic targets and combination strategies.
Main Methods:
- Integrated systems analysis combining whole exome sequencing, time-course phosphoproteomics, and computational modeling.
- Complexity reduction from over 2,000 genetic events to 44 phosphoproteins and 35 related genetic alterations.
- In vitro drug testing (single and combination) against identified phosphoproteins.
Main Results:
- Identified 44 key phosphoproteins and 35 associated genetic alterations mediating resistance.
- Targeting HSPB1, DBNL, and AKT1 demonstrated potent antiproliferative effects.
- These targeted therapies effectively overcame resistance to EGFR-inhibitory therapy.
Conclusions:
- The developed systems analysis approach can identify functionally relevant molecular aberrations beyond simple mutational profiling.
- Targeting specific phosphoproteins like HSPB1, DBNL, and AKT1 offers a promising strategy to overcome therapeutic resistance in NSCLC.
- This approach can guide the development of effective combination therapies for various cancers.
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